Lanhu MCP Server

Item: Lanhu MCP Server
Rating: 66
Author: M8ven

Connects AI assistants to Lanhu design collaboration platform for analyzing Axure prototypes, downloading UI designs, and enabling team knowledge sharing through a collaborative message board that breaks AI IDE silos.

→ dsphper/lanhu-mcp · listed on glama

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// key findings

⚠️

Tool descriptions don’t match what handlers do

1 tool describes read intent but its handler mutates — lanhu_get_ai_analyze_design_result (line 5726: with open(img_filepath, 'wb') as f:)

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configLANHU_COOKIE— export ="your_lanhu_cookie_here"

configDDS_COOKIE

configFEISHU_WEBHOOK_URL— export ="https://open.feishu.cn/open-apis/bot/v2/hook/your-webhook-url"

configDATA_DIR— export ="./data" # 数据存储目录

configHTTP_TIMEOUT— export =30 # HTTP请求超时时间（秒）

configVIEWPORT_WIDTH— export =1920 # 浏览器视口宽度

configVIEWPORT_HEIGHT— export =1080 # 浏览器视口高度

configLANHU_USER_NAME— "": "YourName",

configLANHU_USER_ROLE— "": "Developer"

configMCP_TRANSPORT

configSERVER_HOST— export ="0.0.0.0" # 服务器监听地址

configSERVER_PORT— export =8000 # 服务器端口

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/dsphper-lanhu-mcp-cbi1u7)](https://m8ven.ai/mcp/dsphper-lanhu-mcp-cbi1u7)

commit: e94a767f2e9ef87642c2a80ba3851145413c6916

code hash: 017e1b18e2ae73c7713ca3824d3d654b4afa46c5ebd8d218e29b7862671fa827

verified: 6/24/2026, 10:33:25 AM

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